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How to keep the Grid full and working with ATLAS production and physics jobs
The ATLAS production system provides the infrastructure to process millions of events collected during the LHC Run 1 and the first two years of Run 2 using grid, clouds and high performance computing. We address in this contribution the strategies and improvements that have been implemented to the p...
| Autores principales: | , , , , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/898/5/052001 http://cds.cern.ch/record/2239826 |
| _version_ | 1780952989385621504 |
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| author | Pacheco Pages, Andres Barreiro Megino, Fernando Harald Cameron, David Fassi, Farida Filipcic, Andrej Di Girolamo, Alessandro Gonzalez de la Hoz, Santiago Glushkov, Ivan Maeno, Tadashi Walker, Rodney Yang, Wei |
| author_facet | Pacheco Pages, Andres Barreiro Megino, Fernando Harald Cameron, David Fassi, Farida Filipcic, Andrej Di Girolamo, Alessandro Gonzalez de la Hoz, Santiago Glushkov, Ivan Maeno, Tadashi Walker, Rodney Yang, Wei |
| author_sort | Pacheco Pages, Andres |
| collection | CERN |
| description | The ATLAS production system provides the infrastructure to process millions of events collected during the LHC Run 1 and the first two years of Run 2 using grid, clouds and high performance computing. We address in this contribution the strategies and improvements that have been implemented to the production system for optimal performance and to achieve the highest efficiency of available resources from operational perspective. We focus on the recent developments. |
| id | cern-2239826 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2016 |
| record_format | invenio |
| spelling | cern-22398262019-10-15T15:20:02Zdoi:10.1088/1742-6596/898/5/052001http://cds.cern.ch/record/2239826engPacheco Pages, AndresBarreiro Megino, Fernando HaraldCameron, DavidFassi, FaridaFilipcic, AndrejDi Girolamo, AlessandroGonzalez de la Hoz, SantiagoGlushkov, IvanMaeno, TadashiWalker, RodneyYang, WeiHow to keep the Grid full and working with ATLAS production and physics jobsParticle Physics - ExperimentThe ATLAS production system provides the infrastructure to process millions of events collected during the LHC Run 1 and the first two years of Run 2 using grid, clouds and high performance computing. We address in this contribution the strategies and improvements that have been implemented to the production system for optimal performance and to achieve the highest efficiency of available resources from operational perspective. We focus on the recent developments.ATL-SOFT-PROC-2016-013oai:cds.cern.ch:22398262016-12-23 |
| spellingShingle | Particle Physics - Experiment Pacheco Pages, Andres Barreiro Megino, Fernando Harald Cameron, David Fassi, Farida Filipcic, Andrej Di Girolamo, Alessandro Gonzalez de la Hoz, Santiago Glushkov, Ivan Maeno, Tadashi Walker, Rodney Yang, Wei How to keep the Grid full and working with ATLAS production and physics jobs |
| title | How to keep the Grid full and working with ATLAS production and physics jobs |
| title_full | How to keep the Grid full and working with ATLAS production and physics jobs |
| title_fullStr | How to keep the Grid full and working with ATLAS production and physics jobs |
| title_full_unstemmed | How to keep the Grid full and working with ATLAS production and physics jobs |
| title_short | How to keep the Grid full and working with ATLAS production and physics jobs |
| title_sort | how to keep the grid full and working with atlas production and physics jobs |
| topic | Particle Physics - Experiment |
| url | https://dx.doi.org/10.1088/1742-6596/898/5/052001 http://cds.cern.ch/record/2239826 |
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